Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
Department of Neurosurgery, All India Institute of Medical Sciences, New Delhi, India.
World Neurosurg. 2022 Jun;162:e187-e197. doi: 10.1016/j.wneu.2022.02.115. Epub 2022 Mar 3.
We aim to evaluate the role of frailty and inflammatory markers in predicting the short-term outcomes after catheter-associated urinary tract infections (CAUTI) and central line-associated bloodstream infections (CLABSI).
Data regarding the patients' characteristics, isolates on CAUTI and CLABSI, antibiotic susceptibility, frailty (11-point Modified Frailty Index), and inflammatory markers were retrospectively collected. Their impact on the short-term outcomes was assessed using regression modeling response.
One hundred and one patients with CAUTI (n = 71) and CLABSI (n = 30) between January 2018 and December 2019 were included in this study. The pooled incidence rates for CAUTI were 5.50 and for CLABSI 3.58 episodes/1000 catheter-days. We observed 74.7% drug resistance in our CAUTI isolates and 93.3% in CLABSI. In the multivariate analysis, frailty (P = 0.006), neutrophil/lymphocyte ratio (NLR) (P = 0.007) and the presence of sepsis (P = 0.029) were found to be significant predictors of in-hospital mortality in CAUTI. In patients with CLABSI, frailty (P = 0.029) and NLR (P = 0.029) were found significant and along with sepsis (P = 0.069) resulted in a regression model with good accuracy in predicting mortality. The receiver operating characteristic curve showed that 11-point Modified Frailty Index and NLR as well as the regression model significantly predicted mortality with an area under the curve of 86.1%, 81.4%, and 95.4%, respectively, in CAUTI, and 70.9%, 77.8%, and 95.2%, respectively, in CLABSI.
评估衰弱和炎症标志物在预测导管相关性尿路感染(CAUTI)和中心静脉相关血流感染(CLABSI)后短期结局中的作用。
回顾性收集患者特征、CAUTI 和 CLABSI 分离株、抗生素敏感性、衰弱(11 分改良衰弱指数)和炎症标志物的数据。使用回归模型反应评估它们对短期结局的影响。
2018 年 1 月至 2019 年 12 月期间共纳入 101 例 CAUTI(n=71)和 CLABSI(n=30)患者。CAUTI 的累积发生率为 5.50 例/1000 导管日,CLABSI 的发生率为 3.58 例/1000 导管日。我们观察到 CAUTI 分离株的耐药率为 74.7%,CLABSI 为 93.3%。多变量分析显示,衰弱(P=0.006)、中性粒细胞/淋巴细胞比值(NLR)(P=0.007)和脓毒症的存在(P=0.029)是 CAUTI 住院死亡率的显著预测因素。在 CLABSI 患者中,衰弱(P=0.029)和 NLR(P=0.029)具有显著意义,加上脓毒症(P=0.069),形成了一个预测死亡率的回归模型,准确性较高。受试者工作特征曲线显示,11 分改良衰弱指数和 NLR 以及回归模型在 CAUTI 中分别具有 86.1%、81.4%和 95.4%的曲线下面积,在 CLABSI 中分别具有 70.9%、77.8%和 95.2%的曲线下面积,用于预测死亡率。